Adala

Adala is an open-source framework developed to automate the processes of data labeling and other related tasks through autonomous artificial intelligence agents. These agents utilize large language models to carry out functions such as data classification, summarization, and generation. Over time, Adala's agents enhance their performance by engaging with verified datasets and assimilating human feedback, which contributes to improved reliability and efficiency in data management workflows.

• Autonomous learning from human feedback
• Integration with large language models
• Dynamic memory for storing and retrieving knowledge
• Modular and extensible architecture
• Open-source framework

• Automated data labeling for machine learning
• Data classification and organization
• Summarization of large datasets
• Data generation for training models
• Enhancing data quality and consistency